{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import joblib \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "def show(log_path):\n",
    "    log= joblib.load(log_path)\n",
    "    num = log['num_list'] \n",
    "    auc = pd.DataFrame(log['auc_list'],columns=['auc']).values\n",
    "    auc_ewm = pd.DataFrame(log['auc_list'],columns=['auc']).ewm(alpha=0.2).mean().values\n",
    "    f = np.polyfit(num, auc, 3)\n",
    "    curve = np.polyval(f,num)\n",
    "    print('random_seed:',log['random_seed'])\n",
    "    print('step:',num[1])\n",
    "    \n",
    "    plt.plot(num,auc_ewm)\n",
    "    plt.plot(num,curve,'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random_seed: 2018\n",
      "step: 6\n",
      "random_seed: 2018\n",
      "step: 16\n",
      "random_seed: 2018\n",
      "step: 14\n",
      "random_seed: 2018\n",
      "step: 16\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show('log0')\n",
    "show('log5')\n",
    "show('log4')\n",
    "show('./his_log/log2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random_seed: 2018\n",
      "step: 16\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show('./his_log/log2')"
   ]
  },
  {
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    "学习能力强的学习器因为unlabel的数据集精度不够，无法提升  \n",
    "而弱学习器因为unlabel的数据集精度高于自身学习能力，仍然可以不断提升，因数据带来的学习能力的提升是不可能超过现有的KGB模型的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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